Description
As a Data Scientist in our Core organization - Trust and Safety + Content Quality, you will shape the future of people-facing and business-facing products we build at Pinterest.
Your expertise in quantitative modeling, experimentation, and algorithms will be utilized to solve some of the most complex engineering challenges at the company.
You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering, and others.
The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real-world products serving hundreds of millions of pinners, creators, advertisers, and merchants around the world.
The core mandate is to evolve the organization from reactive moderation and lagging harm reporting into a proactive, metrics-driven operating system,where we manage leading indicators that predict risk, improve understanding quality, and keep Pinterest safe, inspiring, and useful.
Responsibilities:
- Develop a deep, nuanced understanding of the Pinterest trust and safety platform, quantifying full funnel opportunities and risks
- Lead projects on: Trust and Safety opportunities across different funnel stages
- Design and productionize robust, scalable ML and evaluation frameworks,spanning statistical measurement, product recommendation, and forecasting
- Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission
- Bring scientific rigor and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of our Pinners
- Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
- Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest
Requirements:
- Minimum 10 years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data
- Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics, or other related fields
- A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail, and commitment to high-quality, results-oriented output
- Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)
- Excellent communication skills and ability to explain learnings to both technical and non-technical partners
- A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
- Excellent communication and influencing skills
- Bachelor’s degree in Computer Science, a related field, or equivalent experience
Benefits:
- The position is eligible for equity
- Base salary range: $164,695-$339,078 USD